Here I’m plotting data from the counterfactual languages optimized to minimize dependency length.
‘DistanceWeight’ is the distance parameter in the ordering model. Higher values indicate greater distance between head and dependent.
More negative values indicate stronger preference to be close to the noun. Here, adjectives are predicted to occur at higher distance from the noun than determiners.
More negative values indicate stronger preference to be close to the noun. Subjects are predicted to come closer.
More negative values indicate stronger preference to be close to the noun. Pronominal arguments are predicted to come closer than nominal arguments.
Here I’m plotting dependent-first and distance logits obtained by optimizing for dependency length.
For the “Distance” logits, higher values mean greater distance from the head.
For the “DH” (Dependent-First) logits, higher values mean greater preference for the dependent to come first.
As the number of dependency triples is large, I’m plotting averages along the dimensions head POS, dependency label, and dependent POS. I start with by-dependent averages since they seem easiest to interpret.
Here I’m plotting averages of inferred values by the POS of the dependent of each dependency triple.
Here I’m plotting averages of inferred values, by the POS of the head of each dependency triple.
There doesn’t seem to be anything to see here.
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Here I’m plotting averages of inferred values by the label of the dependency.
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